جست‌وجوی استاد و پژوهشگر

• Quantum Physics
• Condensed Matter Physics
• Topological Insulators
• +۳ مورد دیگر

Fabio Cavaliere is an Associate Professor at the University of Genoa, affiliated with the Department of Physics (DIFI) within the School of Basic and Applied Sciences. His research focuses on theoretical physics of matter, mathematical methods, and their applications, particularly in quantum systems, topological insulators, and nano-electromechanical systems. He serves on the Department Council and teaches courses including Modern Physics Elements, General Physics 1, and Introduction to Quantum Technologies. His research interests span quantum batteries, Wigner molecules, and topological phases in condensed matter systems. Recent work explores dynamical blockade phenomena in quantum reservoirs, synchronization effects in thermodynamic systems, and phase diagrams of frustrated quantum spin chains. Cavaliere employs advanced numerical techniques for entangled many-body systems and investigates coherence properties in nanoelectromechanical systems. He has contributed to foundational studies on spin-charge separation, quantum dot symmetries, and negative differential conductance in nanoscale systems. His publications reflect a trajectory from early theoretical work on quantum dot characterization (2002) to cutting-edge research in quantum thermodynamics and topological materials.

Dario Paccagnanمشاهده پروفایل

مدرس ارشد

• Game Theory
• Optimization
• Control Systems
• +۷ مورد دیگر

Dario Paccagnan is a Senior Lecturer (US Associate Professor) in the Department of Computing at Imperial College London, affiliated with the Computational Optimization Group and the Artificial Intelligence Network. He holds a PhD from ETH Zurich and dual M.Sc. degrees from the University of Padova and Technical University of Denmark. His research focuses on multi-agent systems, game theory, optimization, control systems, and their applications in intelligent mobility and electricity markets. Education: B.Sc. in Engineering, University of Padova (2011) M.Sc. in Engineering, University of Padova and Technical University of Denmark (2014) PhD in Optimization and Control, ETH Zurich (2018) His research interests include modeling, analysis, and control of self-interested decision-making in multi-agent systems. He explores societal impacts through theoretical models and real-world applications like traffic flow prediction (e.g., WardropNet ) and energy markets. His work bridges control theory, machine learning, and algorithmic game theory. Recent publications highlight advancements in Gaussian Process compression ( Pick-to-Learn ), fair interventions in congestion games, and optimal tax mechanisms. His contributions emphasize generalization bounds, algorithmic efficiency, and distributed resource allocation. Awards: ETH Medal for Outstanding PhD Dissertation (2019) EECI Best PhD Award Finalist (2019) Best Student Paper Award at AISTATS 2025 He advises students on projects spanning multi-agent learning, congestion games, and robotic surveillance. Collaborations include MIT, UC Berkeley, and NVIDIA. He organizes seminars like Frontiers in Economics and Computation - UK and workshops on autonomous cities. Professional roles include Board Member at Aleph Digital Industry and editorial contributions to journals like IEEE TAC. He is actively involved in Imperial’s research initiatives, including the MIT-Imperial Seed Fund for collaborative projects.

Kai Zhangمشاهده پروفایل

استادیار

• Molecular Simulation
• Machine Learning in Materials Science
• Soft Matter Materials
• +۵ مورد دیگر

Kai Zhang is an Assistant Professor of Chemistry at the University of Texas at Tyler. He specializes in computational chemistry, focusing on molecular simulation and machine learning applications in soft matter materials such as polymers, colloids, and glasses. His research explores nanoparticle self-assembly, gas transport through porous membranes, and data-driven materials discovery. Dr. Zhang holds a B.S. in Chemistry from Tsinghua University (2007) and a Ph.D. in Physical Chemistry from Duke University (2012). He joined UT Tyler in 2023 after postdoctoral or industry experience not explicitly detailed in the text. His research interests emphasize bridging computational methods with materials science. Key themes include understanding phase behavior in soft matter systems, optimizing gas separation membranes, and leveraging machine learning for material property prediction. Recent work highlights applications of generative models to thermodynamic systems and deep learning for nanoparticle assembly analysis. While no specific awards are listed, his publication record reflects sustained contributions to polymer physics, materials characterization, and computational methodologies. His work spans from fundamental theoretical studies (e.g., Ising model simulations) to applied problems like cell phone usage analysis via social media data. Laboratory and team affiliations are not explicitly mentioned, but his computational focus suggests involvement in interdisciplinary research groups at UT Tyler. No grants or advising details are provided in the source text.

Jeffrey Kastnerمشاهده پروفایل

پژوهشگر

• Aeroacoustics
• Jet Noise Reduction
• Supersonic Jet Mechanics
• +۳ مورد دیگر

Jeffrey Kastner is a researcher at the University of Cincinnati's Department of Aerospace Engineering and Engineering Mechanics within the College of Engineering and Applied Science. His work focuses on aeroacoustics, jet noise reduction, and high-speed flow control, with extensive collaborations in experimental and computational fluid dynamics. His research spans supersonic jet mechanics, combustion instabilities, and innovative noise mitigation strategies using chevrons, fluidic injectors, and plasma actuators. Key projects include studies on pressure skewness in jets, turbulent structure correlation, and acoustic liner optimization. Funded by agencies like the National Science Foundation, Department of the Navy, and General Electric, Kastner's contributions bridge industry and academia in aerospace technology. Scientific awards and distinctions are not explicitly mentioned in the provided data. He has collaborated on over a dozen grants since 2008, often serving as principal investigator or collaborator in projects related to jet noise reduction, combustion testing, and plasma actuator development.

Joan Vaccaroمشاهده پروفایل

استاد

• Quantum Physics
• Quantum Thermodynamics
• Theoretical Physics
• +۴ مورد دیگر

Professor Joan Vaccaro is a faculty member at Griffith University, affiliated with the School of Environment and Science and the Department of Applied Mathematics and Physics. She holds the rank of Professor and is part of the Centre for Quantum Dynamics and the Queensland Quantum and Advanced Technologies Research Institute (QUATRI). Her research focuses on quantum physics, thermodynamics, and foundational questions in physics such as the directionality of time and quantum information theory. She has supervised numerous doctoral and master’s students in topics like quantum engines, memory erasure, and time symmetry. Education: PhD and BSc(Hon) in Physics from Griffith University. Research interests include quantum thermodynamics, quantum coherence, T-violation, and the philosophical implications of quantum mechanics. Her work explores the interplay between quantum systems and thermodynamic principles, with applications to quantum computing and foundational physics. Key projects include studies on memory erasure without energy cost, quantum heat engines, and the origin of time's arrow. She has collaborated with institutions like Lockheed Martin on quantum technologies. Grants include projects on quantum dynamics and energy-efficient systems. Her lab, the Centre for Quantum Dynamics, focuses on theoretical and applied quantum physics. She actively contributes to interdisciplinary research at Griffith University, bridging quantum theory, thermodynamics, and computational methods.

Geir Godagerمشاهده پروفایل

استاد

• Health Economics
• Applied Microeconometrics
• Choice Modeling
• +۴ مورد دیگر

Geir Godager is a Professor at the University of Oslo , affiliated with the Department of Health Management and Health Economics. His research spans applied microeconometrics, behavioral economics, and healthcare policy, focusing on physician incentives, GP service markets, and payment systems in healthcare. Education: Cand. oecon. (2003), PhD (2009), both from the University of Oslo Teaching: Courses HECON 4220, HØKON 3001, MF9175 Research Interests include experimental economics, empirical game theory, quantal response equilibrium models, and the analysis of incentivized choice experiments. He investigates how financial incentives and policy changes affect physician behavior, particularly in general practice and primary care settings. Recent Publications examine topics such as physician altruism, cost-sharing mechanisms, mystery shopper schemes in prescribing behavior, and the stability of patient-regarding preferences. His work often combines behavioral game theory with empirical analysis to address healthcare market dynamics. Projects include IRECOHEX (Evaluation of Primary Health Care Teams), NORCHER (Norwegian Centre for Health Services Research), and PATHWAYS (care pathways for older people). He is also associated with the Health Economics Research Network (HERO).

Francesco Boselloمشاهده پروفایل

دانشیار

• Climate Change Economics
• Environmental Economics
• Sustainability
• +۳ مورد دیگر

Francesco Bosello is an Associate Professor of Economics at Ca’ Foscari University of Venice and a Principal Scientist at the Euro-Mediterranean Centre on Climate Change (CMCC), where he leads the Economic Analysis of Climate Impacts and Policy division. He also serves as Deputy Director of the European Institute on Economics and the Environment (EIEE), a joint initiative with Resources for the Future. His roles include advancing climate policy research and integrating economic models with environmental sustainability. Education: PhD in Economics (University of Venice), Master’s in Economics (University College London), Bachelor’s from Ca’ Foscari University of Venice. His research focuses on climate change impact assessment, optimal mitigation/adaptation strategies, and international environmental agreements. He develops integrated assessment models and applied general equilibrium frameworks to evaluate economic implications of climate policies. Recent work explores cascading socio-economic impacts of geopolitical events (e.g., Russia-Ukraine war), heat stress on labor markets, and climate-driven sea-level rise effects on European economies. Prior roles include Associate Professor at the University of Milan and affiliation with Fondazione Eni Enrico Mattei (FEEM). He collaborates on projects like the water-energy-food nexus in computable general equilibrium modeling and decision-support tools for climate resilience against infectious diseases.

Jean-Marie Dufourمشاهده پروفایل

استاد

• Econometrics
• Macroeconomics
• Finance
• +۷ مورد دیگر

Professor Jean-Marie Dufour holds the William Dow Chair in Economics at McGill University's Department of Economics and is a Research Professor at the Halle Institute for Economic Research (IWH). His research focuses on econometrics, macroeconomics, finance, and public finance, with a particular emphasis on dynamic models, policy analysis, and financial asset pricing. He has held prestigious roles such as Bank of Canada Research Fellow and Fellow of the Econometric Society. Education: PhD in Economics (University of Chicago, 1979), M.Sc. Mathematics (Université de Montréal, 1973) Affiliations: CIRANO, CIREQ, and invited researcher at IWH Major awards include the Killam Prize (2006), Officer of the Order of Canada (2008), and Fellowships from the Royal Society of Canada and the Econometric Society. His work bridges theoretical econometrics with applied macroeconomic and financial analysis. Editorial roles include Associate Editorships at Econometrica and Journal of Econometrics . His research outputs span structural equation modeling, causality, and volatility analysis in financial markets.

Jan Brusselaersمشاهده پروفایل

استادیار

• Environmental Economics
• Sustainability Transitions
• Circular Economy
• +۳ مورد دیگر

Jan Brusselaers is an Assistant Professor in the Environmental Economics department at Vrije Universiteit Amsterdam's Faculty of Science. He specializes in the economics of sustainability transitions and circular economy policies. His expertise includes international trade, econometrics, and general equilibrium modeling. He holds a PhD in Agricultural Economics from Ghent University (2017), an M.A. in Economics of International Trade from the University of Lille (2010), and an MSc in Applied Economics from Antwerp University (2009). His research focuses on assessing policy impacts on sustainability transitions, particularly in wood value chains and circular economy strategies. He has conducted studies on climateflation, energy transition governance, and infrastructure resilience to climate change. Key projects include analyzing the economic and environmental implications of circular business models and cooperative governance frameworks. Education: PhD in Agricultural Economics (Ghent University, 2017) M.A. Economics of International Trade (University of Lille, 2010) MSc Applied Economics (Antwerp University, 2009) His research outputs (41 articles/reports) emphasize quantitative methods to evaluate sustainability policies. Notable work includes frameworks for comparing circular policies and analyzing climate risk insurance modeling. He received the Green Talents Award (2018) for innovative sustainability research. Teaching responsibilities include courses on Environmental Economics and Environment and Policy at Antwerp University. He has led projects such as 'Steps towards circularity in wood-based building' and 'Assessing Climate Change Risk in Europe'. His work bridges academic research with policy design to advance sustainable development goals.

Patrick E. Hopkinsمشاهده پروفایل

استاد

• Energy Transport
• Thermal Conductivity
• Condensed Matter Physics
• +۴ مورد دیگر

Patrick E. Hopkins is the Whitney Stone Professor of Engineering and holds primary faculty appointments in Mechanical and Aerospace Engineering at the University of Virginia. He also holds courtesy professorships in Materials Science and Engineering and Physics. His research focuses on energy transport mechanisms in materials, particularly at interfaces between condensed matter systems, soft materials, and nanoscale systems. His lab employs advanced optical thermometry techniques to study thermal conductivity, phonon dynamics, and electron-phonon interactions across extreme temperature ranges. Education: B.S. Mechanical Engineering (UVA, 2004), B.A. Physics (UVA, 2004), Ph.D. Mechanical and Aerospace Engineering (UVA, 2008), followed by a postdoctoral fellowship at Sandia National Laboratories. Research interests include nanoscale phonon spectroscopy, thermal boundary conductance in superlattices, and development of ultra-low thermal conductivity materials. His work bridges fundamental physics with engineering applications, such as improving energy efficiency in electronics and thermal management systems. Key achievements include pioneering studies on amorphous chalcogenides and phase change memory materials. His lab, the ExSiTE Group, collaborates on advancing thermal measurement technologies and materials for next-generation electronics. Awards include the PECASE (2013), Humboldt Fellowship (2021), and election as AAAS Fellow. His research has been featured in Nature , Nature Communications , and Nature Materials .

• Computational Imaging
• Inverse Problems
• Numerical Analysis
• +۲ مورد دیگر

Greg Buzzard is Professor of Mathematics and Director of the Center for Computational & Applied Mathematics (CCAM) at Purdue University's College of Science. His research develops mathematical foundations for computational imaging systems through collaborative work with electrical engineering and materials science researchers. Dr. Buzzard leads a substantial research group focusing on inverse problems in imaging science. His work combines theoretical advances in optimization with practical applications in electron microscopy, neutron tomography, and medical imaging. Key research areas include: Consensus Equilibrium frameworks for model integration Dynamic sampling algorithms for computational imaging Plug-and-play methods for image reconstruction Multi-agent systems for large-scale inverse problems Recent publications demonstrate leadership in computational tomography innovations, particularly neutron imaging techniques for materials science and spectral CT reconstruction. His team's methods enable faster, higher-resolution imaging across scientific domains from biomedical applications to aerospace materials characterization. The 2020 SIAM Imaging Sciences Best Paper Prize recognized fundamental contributions to Plug-and-Play reconstruction methods. Professor Buzzard maintains an active mentoring program with 9 current graduate students and postdocs. His interdisciplinary collaborations include sustained partnerships with the Purdue School of Electrical and Computer Engineering and materials science research groups.

• Public Finance
• Urban Economics
• Housing Policy
• +۷ مورد دیگر

Christoph Rutschmann is a Researcher affiliated with the Professur für Mukosale Immunologie at ETH Zürich. His work bridges the fields of public finance, urban economics, and housing policy, focusing on topics like homeowners associations (HOAs), land-use regulation, and the interplay between private and public governance systems. He explores how local-level policy decisions impact urban cohesion, tax systems, and market dynamics. His research interests include applied microeconomics, voting behavior in localized contexts, and the economic implications of environmental shocks such as induced earthquakes. He has published extensively on HOAs' role in shaping community development, mitigating negative externalities, and their effects on housing affordability and local governance structures. Rutschmann's work has appeared in leading journals such as Journal of Regional Science , Regional Science and Urban Economics , and Journal of Housing Economics . His studies often combine empirical analysis with policy relevance, addressing questions of fiscal equity, regulatory efficiency, and spatial economic outcomes. No scientific awards or grants are explicitly mentioned in the provided texts. He collaborates frequently with researchers like Rachel Meltzer and Tim Salmon, focusing on projects related to urban development and public policy. Rutschmann's affiliation with ETH Zürich's biology department (via email domain) contrasts with his economics focus, suggesting interdisciplinary engagement or institutional structure nuances. His research lab or team details are not explicitly described in the source material.

Han Hongمشاهده پروفایل

استاد

• Econometrics
• Health Econometrics
• Statistical Modeling
• +۲ مورد دیگر

Han Hong is a Professor of Economics at Stanford University's Department of Economics. He holds a Ph.D. in Economics (1998), M.S. in Computer Science (1998), and M.S. in Statistics (1997) from Stanford University, and a B.A. in International Trade from Zhongshan University (1993). His research focuses on econometric methodology, health econometrics, statistical modeling, and computational economics. He has developed innovative approaches for panel data analysis, structural estimation, and decision-making algorithms. Professor Hong has received numerous honors including the Willard G. Manning Memorial Award (2017), Arrow Award Honorable Mention (2015), and multiple NSF grants. He serves as Co-Editor of the Journal of Econometrics and is a Fellow of the Econometric Society. He teaches courses in Advanced Econometrics, Data Science, and Econometric Methods, and mentors students through honors thesis research and directed reading programs.

Collin Payneمشاهده پروفایل

دانشیار

• Demography
• Public Health
• Epidemiology
• +۴ مورد دیگر

Collin Payne is an Associate Professor and ARC DECRA Fellow at the Australian National University's School of Demography, where he also coordinates short courses and micro-credential programs. He holds a PhD in Demography from the University of Pennsylvania and a BA in Sociology and Applied Statistics from the University of Wisconsin. His research focuses on life-course processes shaping population health, health inequalities, and methodological advancements in multistate analyses and microsimulation. Payne is an ANU Futures Scheme recipient and Associate Investigator at the ARC Centre of Excellence in Population Ageing Research, with visiting faculty status at Harvard University's Center for Population and Development Studies. Research interests include generational health changes across global contexts, interrelations between mental, physical, and cognitive health, and the demographic impacts of trauma and chronic conditions. Methodologically, he specializes in microsimulation models and causal inference methods for population health. His work has examined healthy longevity trends in Australia, South Africa, and the Asia-Pacific, with a focus on socioeconomic gradients and HIV-related outcomes. Payne has supervised numerous research projects and contributed to grants like 'Advancing Research on Healthy Longevity in Australia and the Asia-Pacific' (2021–2025) and 'Long-Term Impacts of Political Violence on the Health and Wellbeing of China's Elderly' (2022–2024). He leads The Population Lab (Poplab) and maintains an extensive publication record spanning over 50 peer-reviewed articles, with a focus on longitudinal studies, health expectancy dynamics, and global health disparities.

Stefan Wagerمشاهده پروفایل

دانشیار

• Causal Inference
• Statistical Learning
• Machine Learning
• +۴ مورد دیگر

Stefan Wager is an Associate Professor at Stanford Graduate School of Business and Courtesy Associate Professor of Statistics. He holds a PhD and BS in Mathematics from Stanford. His research bridges causal inference, machine learning, and decision science, focusing on leveraging modern methods for statistical problems in economics and policy. Wager has advised numerous PhD students and postdocs, and his work has been recognized with awards like the Facebook Faculty Award and the Applied Statistics Dissertation Award. He contributes to open-source tools like the Generalized Random Forests (grf) package and serves on editorial boards for top journals. Education: PhD in Statistics (Stanford, 2016); BS in Mathematics (Stanford, 2011). Research Interests: Causal inference, policy learning, treatment effect estimation, machine learning applications in econometrics and healthcare. Awards: Philip F. Maritz Faculty Scholar (2024–2025), Spence Faculty Scholar, and multiple grants from NSF and industry partners. Grants: NSF Methodology, Stanford Human-Centered AI, and collaborations with Google, Uber, and Facebook. His work emphasizes scalable methods for policy evaluation, including synthetic difference-in-differences and optimized regression discontinuity designs. He has developed influential software for causal forests and treatment effect estimation, impacting both academia and industry.